A Review on Efficient Identification of Posture Alterations Through the Analysis of the Footprint and Artificial Vision Technologies

This article presents a review of the most relevant manual techniques and technologies developed from the field of artificial vision aimed at identifying biomechanical alterations. The purpose is to describe the most important aspects of each technology, focused on the description of each of its stages and experimental results, which suggest the integration of mobile devices with artificial vision techniques, in addition to the different computer programs used for such end. Finally, the results showed that the identification of the crook index for alterations in posture turns out to be a technique currently used by most specialists. The great challenge is to develop portable devices through mobile applications that allow the detection of the corvo index and the barometric analysis, as well as for other types of applications that depend on visual analysis by experts.